pbashivan / EEGLearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
☆724Updated 4 years ago
Alternatives and similar repositories for EEGLearn:
Users that are interested in EEGLearn are comparing it to the libraries listed below
- Outdated, see new https://github.com/braindecode/braindecode☆324Updated 4 years ago
- This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal cl…☆1,231Updated 2 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆293Updated 5 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆214Updated 7 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆269Updated 2 years ago
- Mother of All BCI Benchmarks☆727Updated last week
- Deep learning software to decode EEG, ECG or MEG signals☆854Updated this week
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆417Updated 6 months ago
- EEG Experiments in Python☆460Updated last month
- ☆130Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆211Updated 7 months ago
- Python + EEG/MEG = PyEEG☆251Updated last year
- EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD☆627Updated last month
- A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse☆244Updated 7 years ago
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆984Updated 2 years ago
- An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learni…☆388Updated 10 months ago
- MNELAB – a GUI for MNE☆245Updated this week
- MATLAB toolbox for Brain-Computer Interfacing (BCI)☆156Updated 4 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆279Updated last year
- MATLAB Toolbox for Brain-Computer Interface Research☆205Updated 3 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆228Updated 3 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆155Updated 4 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆486Updated 5 months ago
- A tensorflow implementation for EEGLearn☆78Updated 5 years ago
- Realtime emotion recognition from EEG data.☆148Updated 6 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆176Updated last year
- 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python☆193Updated last month
- A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).☆369Updated 4 years ago
- PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data☆140Updated 2 weeks ago
- A list of openly available datasets in (mostly human) electrophysiology.☆411Updated 10 months ago